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Hyperspectral chemical plume detection algorithms based on multidimensional iterative filtering decomposition. [PDF]

Philos Trans A Math Phys Eng Sci, 2016
Cicone A, Liu J, Zhou H.
europepmc   +1 more source

EEG-based emotion recognition systems; comprehensive study. [PDF]

Heliyon
Hamzah HA, Abdalla KK.
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Characterization of Endoneurial Fibroblast-like Cells from Human and Rat Peripheral Nerves. [PDF]

J Histochem Cytochem, 2014
Richard L, Védrenne N, Vallat JM, Funalot B.   +3 more
europepmc   +1 more source

Segmentation-enhanced approach for emotion detection from EEG signals using the fuzzy C-mean and SVM. [PDF]

Sci Rep
Mahmood MA, Alsalem K, Elbashir MK, El-Ghany SA, El-Aziz AAA.   +4 more
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The Mayfield Messenger, November 10, 1926 [PDF]

, 1926
The Mayfield Messenger
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Short-term load forecasting for power grids based on MEEMD and neural networks

2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2021
According to the non-linearity and non-smoothness of power load series, a short-term load forecasting method for power grid based on MEEMD and BP neural network is proposed. The collected load data are first processed by EMD, EEMD, and MEEMD to obtain several IMFs and a 1trend term, respectively. Then the obtained components are reselected to construct
Wang Le, Chen Xiao Qiang, Wang Ying
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Fault diagnosis of mine asynchronous motor based on MEEMD energy entropy and ANN

Computers & Electrical Engineering, 2021
Abstract The stator current signals of mining asynchronous motor are often non-stationary, making it challenging to extract fault features in the time domain. Therefore, this paper proposes a rotor fault diagnosis method based on the combination of Modified Ensemble Empirical Mode Decomposition (MEEMD) energy entropy and Artificial Neural Network ...
Zhanshe Yang, Chenzai Kong, Yunhao Wang, Xiang Rong, Lipeng Wei   +4 more
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Ultra-short-term Wind Power Combination Forecasting Model Based on MEEMD-SAE-Elman

2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2020
The accurate prediction of wind power can effectively reduce the wind-free rate of wind power and improve the safety, stability and economy of the power grid. This paper proposes a modified Integrated Ensemble Empirical Mode Decomposition (MEEMD)-Sparse Auto-encoder (SAE)-Elman ultra-short-term wind power combination forecasting method, Which improves ...
Lianqing Song, Qingyun Xie, Yongkang He, Pengju Dang   +3 more
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Analysis of vibration characteristics for cam absolute gravimeter via improved MEEMD-HHT method

2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2019
An accurate determination of gravitational acceleration has been playing an important role in the areas of metrology, geophysics, and geodetics. Vibration interference is the main factor affecting the accuracy of absolute gravity measurement based on optical interferometry.
Ruo Hu, Zonglei Mou, Chen Wang, Jinyang Feng, Xueben Niu, Yuanhang Shen   +5 more
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